Software Engineer - AI Enablement & Engineering Productivity
Emerson
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- Location
- Austin, TX
- Job type
- Full time
- Posted
- Oct 1
- 19 days ago
Career path
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About the company
Emerson
Industrial automation · 10,001+ employees
What you'll do
- Design, develop, and maintain internal tools and services that improve engineering productivity.
- Support and enhance AI-enabled solutions used by engineering teams.
- Work with stakeholders to understand challenges and identify opportunities for automation and workflow improvements.
- Design, develop, test, and maintain software solutions, automations, and internal services that improve engineering productivity.
- Evaluate and adopt new AI technologies and productivity solutions.
- Troubleshoot issues and improve the reliability of internally developed tools and services.
- Collaborate with engineering teams worldwide to help improve development workflows and tooling.
- Hands-on experience using AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, ChatGPT, or similar technologies.
- Experience developing applications, services, automations, or integrations.
- Exposure to software development concepts such as APIs, web applications, databases, cloud platforms, test systems, machine learning, or hardware-integrated software solutions.
- Experience identifying opportunities to automate repetitive processes or improve workflows.
- Passion for continuous improvement and workflow optimization.
- Strong curiosity and desire to learn new technologies.
- Demonstrates initiative in identifying and solving problems.
- Shows ownership and accountability for assigned work.
- Communicates clearly and asks thoughtful questions to understand problems before proposing solutions.
- Interested in improving engineering productivity through software, automation, and AI.
Key skills
AI technologiessoftware
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Read the full posting here
Join our AI Enablement & Engineering Productivity team and help transform how engineers work. You will design and develop internal tools, automations, and AI-powered solutions that improve productivity across R&D while gaining hands-on experience building software and applying emerging AI technologies. This is a unique opportunity to make a meaningful impact early in your career while helping shape the future of engineering workflows.